Optimizing Mainframe Performance with IBM Z IntelliMagic Vision for z/OS
A leading European retail enterprise enhanced its mainframe performance visibility and analytical capabilities by implementing IBM Z IntelliMagic Vision for z/OS. The solution empowered the company’s IT operations teams with deeper insights into infrastructure utilization, enabling proactive performance management, faster troubleshooting, and optimized capacity planning across its mission-critical retail systems.
Business challenge
The retail enterprise manages one of Europe’s largest supermarket networks, supported by a highly complex IT infrastructure. As its retail systems handled continuous pricing updates, loyalty transactions, and real-time data processing across hundreds of stores, maintaining mainframe performance became critical to business continuity.
The company faced challenges in:
- Monitoring and optimizing system health across multiple z/OS environments.
- Detecting and resolving performance bottlenecks before they affect operations.
- Enhancing visibility and control for capacity planning.
- Reducing dependency on manual performance analysis.
Solution
The enterprise collaborated with Nexright to implement IBM Z IntelliMagic Vision for z/OS, integrating it with existing IBM zSystems® and IBM z16 infrastructure.
This deployment provided advanced analytics, automated dashboards, and visualization tools that empowered IT engineers to monitor performance trends, predict potential issues, and optimize mainframe capacity in real time.
Key Solution Capabilities Included:
- Interactive dashboards with visual insights for performance analysis.
- Predictive capacity planning powered by AI-driven metrics.
- Automated correlation between hardware and software events.
- Centralized data visualization across mainframe components.
Solution components
- IBM Z IntelliMagic Vision for z/OS
- IBM zSystems®
- IBM z16
- IBM Z Service Management Suite
Real-Time Performance Monitoring
The system delivered near real-time visibility into mainframe performance metrics, enabling IT teams to respond quickly to workload fluctuations.
AI-Powered Predictive Insights
Machine learning algorithms identified early warning indicators, allowing preventive maintenance and improved reliability.
Unified Infrastructure Visibility
All performance data was consolidated into a single dashboard, helping system engineers make informed decisions on workload balancing and resource allocation.
Result
- Improved mainframe efficiency through better workload balancing and automation.
- Reduced downtime risks with early detection of anomalies.
- Enhanced system capacity management for future scalability.
- Strengthened IT team productivity with self-service reporting and analytics tools.
- Achieved seamless integration with existing IBM zSystems infrastructure.
The IBM Z IntelliMagic Vision for z/OS solution gave our teams the visibility they needed to monitor and manage mainframe performance proactively. It has improved our operational resilience and empowered our engineers with actionable intelligence.
— IT Infrastructure Architect, Leading European Retail Enterprise